Massive linking of PS-InSAR deformations to a national airborne laser point cloud

A. L. Van Natijne, R. C. Lindenbergh, R. F. Hanssen

Research output: Contribution to journalConference articleScientificpeer-review

5 Citations (Scopus)
93 Downloads (Pure)

Abstract

Build on soft soil, close to sea level the Netherlands is at high risk for the effects of subsidence and deformation. Interferometric Synthetic Aperture Radar (InSAR) is successfully used to monitor the deformation trends at millimetre level. Unfortunately the InSAR deformation trends suffer from poor geolocation estimates, limiting the ability to link deformation behaviour to objects, such as buildings, streets or bridges. A nationwide, high resolution, airborne LiDAR point cloud is available in the Netherlands. Although the position accuracy of this LiDAR point cloud is to low for deformation estimates, linking the InSAR location to the geometries outlined by the LiDAR point can improve the geolocation estimates of the InSAR trends. To our knowledge no such integration is available as of yet. In this article we outline methods to link deformation estimates to the LiDAR point cloud and give an outlook of possible improvements. As a test we link 3.1 million TerraSAR-X InSAR Persistent Scatterers to 3 billion LiDAR points, covering the city of Delft and surroundings.

Original languageEnglish
Pages (from-to)1137-1144
Number of pages8
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume42
Issue number2
DOIs
Publication statusPublished - 30 May 2018
EventISPRS TC II Mid-term Symposium: Towards Photogrammetry 2020 - Riva del Garda, Italy
Duration: 4 Jun 20187 Jun 2018

Keywords

  • Airborne laser scanning
  • Data fusion
  • Deformation monitoring
  • Geolocation
  • Local surface reconstruction
  • PS-InSAR

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